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Augmented Reality Discovery Ninth AR Standards Community Mee:ng May 30, 2013

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Page 1: Augmented)Reality)) Discovery) · Search)vs.)Discovery) Search Discovery’ User)ini:ates)(text,)speech,)image)) Sensors)are)con:nuously)“scanning”) Global)(constrained)by):me,)space,)etc)

Augmented  Reality    Discovery  

 Ninth  AR  Standards  Community  Mee:ng  May  30,  2013  

Page 2: Augmented)Reality)) Discovery) · Search)vs.)Discovery) Search Discovery’ User)ini:ates)(text,)speech,)image)) Sensors)are)con:nuously)“scanning”) Global)(constrained)by):me,)space,)etc)

Is  there  an  AR  experience  here?  

May  30,  2013   PEREY  Research  &  Consul:ng   2  

Page 3: Augmented)Reality)) Discovery) · Search)vs.)Discovery) Search Discovery’ User)ini:ates)(text,)speech,)image)) Sensors)are)con:nuously)“scanning”) Global)(constrained)by):me,)space,)etc)

May  30,  2013   PEREY  Research  &  Consul:ng   3  

Or  here?  

Page 4: Augmented)Reality)) Discovery) · Search)vs.)Discovery) Search Discovery’ User)ini:ates)(text,)speech,)image)) Sensors)are)con:nuously)“scanning”) Global)(constrained)by):me,)space,)etc)

Now  Let’s  Leap  Ahead  

May  30,  2013   PEREY  Research  &  Consul:ng   4  

Page 5: Augmented)Reality)) Discovery) · Search)vs.)Discovery) Search Discovery’ User)ini:ates)(text,)speech,)image)) Sensors)are)con:nuously)“scanning”) Global)(constrained)by):me,)space,)etc)

Everywhere  is  AR  enriched  •  Every  object,  place  and  person  is  poten:ally  an  AR  experience  – From  birth,  design  – Throughout  and  beyond  its  “life”  

•  Mul:ple  sources  of  content  for  every  target  – Commercial  data  – Public  data  – Personal  data  – Group  data  

May  30,  2013   PEREY  Research  &  Consul:ng   5  

Page 6: Augmented)Reality)) Discovery) · Search)vs.)Discovery) Search Discovery’ User)ini:ates)(text,)speech,)image)) Sensors)are)con:nuously)“scanning”) Global)(constrained)by):me,)space,)etc)

Key  Assump:ons  •  No  technology  constraints  –  Unlimited  processing,  storage,  memory,  bandwidth,  etc  

•  Sensors  are  small,  cheap,  ubiquitous,  connected  – Wearable  compu:ng  –  Internet  of  Things  

•  Content  “ready”  (condi:oned)  for  use  in  AR  experiences  –  Very  small    – Many  business  models  available  –  Open  data  – More  content  assets  than  human  or  machine  can  process  

May  30,  2013   PEREY  Research  &  Consul:ng   6  

Page 7: Augmented)Reality)) Discovery) · Search)vs.)Discovery) Search Discovery’ User)ini:ates)(text,)speech,)image)) Sensors)are)con:nuously)“scanning”) Global)(constrained)by):me,)space,)etc)

May  30,  2013   PEREY  Research  &  Consul:ng   7  

There’s  a  charging  sta:on  

A  pedestrian  is  approaching  

The  driver  is  spiritual  

Page 8: Augmented)Reality)) Discovery) · Search)vs.)Discovery) Search Discovery’ User)ini:ates)(text,)speech,)image)) Sensors)are)con:nuously)“scanning”) Global)(constrained)by):me,)space,)etc)

May  30,  2013   PEREY  Research  &  Consul:ng   8  

No  adver:sements    No  CTAs  

Page 9: Augmented)Reality)) Discovery) · Search)vs.)Discovery) Search Discovery’ User)ini:ates)(text,)speech,)image)) Sensors)are)con:nuously)“scanning”) Global)(constrained)by):me,)space,)etc)

Call  to  Ac:on  

May  30,  2013   PEREY  Research  &  Consul:ng   9  

Page 10: Augmented)Reality)) Discovery) · Search)vs.)Discovery) Search Discovery’ User)ini:ates)(text,)speech,)image)) Sensors)are)con:nuously)“scanning”) Global)(constrained)by):me,)space,)etc)

Automa:c,  Con:nuous  Discovery  

•  Personalized  alerts/no:fica:ons  – Not  always  presented  in  AR  view  

•  Just  in  :me  •  Can  be  ignored  •  Can  be  shared  •  Can  be  validated    

May  30,  2013   PEREY  Research  &  Consul:ng   10  

Page 11: Augmented)Reality)) Discovery) · Search)vs.)Discovery) Search Discovery’ User)ini:ates)(text,)speech,)image)) Sensors)are)con:nuously)“scanning”) Global)(constrained)by):me,)space,)etc)

Search  vs.  Discovery  Search   Discovery  

User  ini:ates  (text,  speech,  image)   Sensors  are  con:nuously  “scanning”  

Global  (constrained  by  :me,  space,  etc)     Local  (or  another  defined  constraint)  

Results  immediate  (list,  map)   Results  con:nuously  

Query  is  performed  on  digital  data  (structured  data)  

“Query”  is  being  performed  on  the  physical  world  (unstructured  data)  and  digital  data  

Provided  by  the  search  engine  provider   Provided  by  the  Discovery  “System”  provider  

Agen:on  focused  on  query   Ignored,  Par:al  agen:on,  full  agen:on  

New  digital  data  always  increasing   Physical  world  and  digital  data  always  increasing  

LET’S  CONTINUE  THIS  TABLE…  

May  30,  2013   PEREY  Research  &  Consul:ng   11  

Page 12: Augmented)Reality)) Discovery) · Search)vs.)Discovery) Search Discovery’ User)ini:ates)(text,)speech,)image)) Sensors)are)con:nuously)“scanning”) Global)(constrained)by):me,)space,)etc)

Other  Analogies?  

•  Like  maps  for  places?    •  Like  Domain  Name  Service  (DNS)  for  domains?  •  Like  AppStores  for  na:ve  applica:ons?  

May  30,  2013   PEREY  Research  &  Consul:ng   12  

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Types  of  Discovery  •  Temporal  

–  I  only  want  live  data  for  the  present  –  I  want  to  discover  historical  digital  assets  or  experiences  –  I  want  to  discover  the  future  

•  Social  –  I  only  want  to  discover  what  my  friends  have  done  –  I  want  to  be  alerted  when  I  pass  or  interact  with  someone  who  is  1  or  

more  degrees  removed  from  me  •  Spa:al  

–  My  device  can  only  discover  in  10  meter  circumference  –  Only  discover  indoor  or  only  outdoor  

•  Financial  –  Only  discover  what  I  can  earn  credits  for    –  Only  discover  “open  data”  at  no  fee  to  me  –  Only  discover  sponsored  AR  experiences  

5/6/13   PEREY  Research  &  Consul:ng   13  

Page 14: Augmented)Reality)) Discovery) · Search)vs.)Discovery) Search Discovery’ User)ini:ates)(text,)speech,)image)) Sensors)are)con:nuously)“scanning”) Global)(constrained)by):me,)space,)etc)

Levels  of  Discovery  

May  30,  2013   PEREY  Research  &  Consul:ng   14  

My  sensors  are  on,  put  what  they  find  in  the  (whose?)    catalog,  credit  me  for  having  contributed  

This  (target)  matches  all  (or  some  of)  my  criteria  (temporal,  spa:al,  etc)  and  my  personalized  system  can  

use  it  to  make  sugges:ons  (an  alert)  

If  metadata  associated  with  this  asset  that  my  system  discovers  does  not  match  others,  let  me  know  and  I  will  have  op:on  to  take  further  ac:on    

This  experience  is  one  that  I’m  in  mode  to  acquire.  No:fy  me  using  [op:ons  

configured  by  user]  

Page 15: Augmented)Reality)) Discovery) · Search)vs.)Discovery) Search Discovery’ User)ini:ates)(text,)speech,)image)) Sensors)are)con:nuously)“scanning”) Global)(constrained)by):me,)space,)etc)

When  AR  Discovery  Will  Mager  

•  Like  the  search  for  the  Web,  AR  Discovery  is  important  once  ecosystem  approaches  or  there  is  –  Cri:cal  mass  of  users  enabled  with  AR  players  –  Cri:cal  mass  of  content    

•  Does  it  have  to  be  defined  in  categories  (see  metadata)?  •  Exceeds  that  which  can  appear  on  a  map  or  a  list  

– Agreed  upon  conven:ons  for  metadata  – Open  and  interoperable  systems  

•  Users  place  value  on  an:cipatory  services,  not  ac:ve  search  or  simply  serendipity  

5/6/13   PEREY  Research  &  Consul:ng   15  

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Deeper  Dimensions  of  Discovery  

•  Experience  detec:on/discovery  storage  – Local,  cloud,  fog  – Maps,  Catalogs/directory  experiences  or  services    – Equivalent  of  DNS  for  domains?  Web  servers?  – Emergency  or  “extraordinary”  experience  levels?  

•  Senng  permissions  to/of  experience  discovery  

5/6/13   PEREY  Research  &  Consul:ng   16  

Page 17: Augmented)Reality)) Discovery) · Search)vs.)Discovery) Search Discovery’ User)ini:ates)(text,)speech,)image)) Sensors)are)con:nuously)“scanning”) Global)(constrained)by):me,)space,)etc)

Establishing  (and  keeping)    Digital  Asset  Provenance  

•  How  is  digital  data  “object”  iden:fied?  – Object  Iden:fica:on    (NISO)  –  Ins:tu:onal  Iden:fica:on  (NISO)  

•  How  trustworthy  is  the  digital  data  my  system  is  using  for  this  AR  experience?  – PROV  (W3C)    

May  30,  2013   PEREY  Research  &  Consul:ng   17  

Page 18: Augmented)Reality)) Discovery) · Search)vs.)Discovery) Search Discovery’ User)ini:ates)(text,)speech,)image)) Sensors)are)con:nuously)“scanning”) Global)(constrained)by):me,)space,)etc)

AR  Discovery  Business  Models  

•  Public  service  – DNS  

•  Business  pays  – Adver:sing  (analogous  to  search)  

•  User  pays  – Per  discovery  – Subscrip:on  

5/6/13   PEREY  Research  &  Consul:ng   18  

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Discussion  Notes  •  Pub  Sub  

–  Solves  the  provenance  issue  •  Arty  sees  3  phases/issues  

–  How/what  is  the  method  of  crea:ng  –  How  do  you  catalog  –  Filtering  the  catalog  content  

•  Mikel-­‐volume  search-­‐searching  the  volume  around  you  •  Frank  (Augmate)  CMS  fro  stores  •  Dirk  

–  Wondering  why  search  isn’t  good  enough  paradigm  –  Isn’t  discovery  another  word  for  Google  Now  –  People  know  what  they  are  search/looking  for  

•  Kaliya  –  Search  is  “look  in  a  giant  database”  –  Discover  is  not  

May  30,  2013   PEREY  Research  &  Consul:ng   19  

Page 20: Augmented)Reality)) Discovery) · Search)vs.)Discovery) Search Discovery’ User)ini:ates)(text,)speech,)image)) Sensors)are)con:nuously)“scanning”) Global)(constrained)by):me,)space,)etc)

Discussion  Notes  (2)  •  Chris  Stapleton  

–  How  can  anyone  an:cipate  what  you  don’t  know?  –  Search  is  not  discovery  

•  Kaliya  –  With  Google  you  end  up  with  a  filter  bubble  –  Google  Now  is  a  case  where  the  provider  sets  the  knobs  without  giving  

the  user  control  •  Carl  Byers  

–  Discovery  sends  us  down  a  rabbit  hole  that  is  too  close  to  serach  –  I  want  an  advisory  service,  learning  algorithms  (like  case  based  

learning  systems)  •  Mikel  

–  Where  do  we  put  the  content  that  user  sees  –  Wherever  the  network,  the  content  is  available…  the  spa:al  DNS  

May  30,  2013   PEREY  Research  &  Consul:ng   20  

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Discussion  Notes  (3)  •  Carl  

–  The  system  does  discovery  –  The  user  sets  the  filters  and  receives  advisory  (alerts  and  no:fica:ons)  

•  Frank  M  –  User  has  set  the  most  likely  content  you  are  looking  for…    

•  Loca:on  based  hook  up  service  –  Types  of  person  you  want  to  see,  mutual  agrac:on  –  User  publishes  data,  depending  on  what  you  want  to  discover  –  Systems  like  this  are  already  at  play  (available)  

•  Chris  Stapleton  –  Layering  of  experiences,  intented  or  not,    –  Mixture  that  have  never  been  done    

•  Frank  M.  –  Emergence  (ants  pheremon  trails)  –  Person  has  a  brighter  signal,  can  s:ll  view…  –  Trails  that  are  around-­‐small  simple  things  that  build  up  to  a  complex  rich  experience  

•  Dirk  –  Catalog  of  geospa:al  data  –  Also  indexed  through  everything  that  passed  through  the  system  to  make  more  prominent  what  was  viewed  

at  a  lot  ..  Self-­‐fulfilling  prophecy  

May  30,  2013   PEREY  Research  &  Consul:ng   21  

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Discussion  Notes  (4)  •  Dirk  

–  Very  difficult  to  propose  new  content  –  You  need  a  catastrophy  to  get  the  ants  to  follow  another  route  

•  Kaliya  –  We  aren’t  ants,  how  do  those  with  large  Twiger  followers  deal  with  their  followers  

•  Frank  M.    –  Echo  chamber  risk  –  You  only  have  your  view  of  the  world,  needs  to  be  some  randomiza:on  built  in  

•  Chris  –  Or  you  are  mining  and  always  genng  something  new.    

May  30,  2013   PEREY  Research  &  Consul:ng   22  

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Chris:ne  Perey  PEREY  Research  &  Consul:ng  

www.perey.com  [email protected]  +41  79  436  68  69  


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